BluIQ is BluBØX’s evidence-backed intelligence quotient for buildings. It measures how well a building’s connected data, security systems, AI, and automation work together on real tasks, then shows the evidence behind the result.
Take a denied credential at an entrance. Investigating the event may involve identifying the person, checking the authorization in effect at that moment, finding relevant video, understanding the physical location, and deciding whether earlier activity matters. The information returned also has to stay within the permissions of the person asking the question.
BluIQ evaluates the complete BluSKY Intelligence harness behind work like this, including the information, memory, models, tools, workflows, spatial context, and connected capabilities involved. The result gives teams a way to see what the building’s intelligence can actually demonstrate, not simply what technology is connected.
BluIQ distinguishes among three levels of evidence: Equipped, Proven, and Effective.
For the entrance investigation, video retrieval may qualify as Equipped once the platform can reach the appropriate camera and has permission to use it. Repeated testing can then show whether it consistently selects the correct camera and time window. Evidence from actual use can show whether that capability contributes to an accepted outcome.
BluIQ places much more emphasis on repeatable proof and measurable results than on the simple presence of a feature.
BluIQ scores building intelligence on a 50–200 scale. The headline number comes with a scorecard showing the evidence, confidence, coverage, and uncertainty behind the result.
A score can change when the environment changes. Software may be updated, a camera may move, or the information supporting an earlier result may no longer reflect current conditions. BluIQ gives teams a way to see when they need to re-evaluate capabilities.
BluIQ looks at eight areas of building intelligence:
An investigation can draw on several of these areas at once. The system may need the right records and relevant history, camera and event evidence, reasoning grounded in those sources, and the correct permissions throughout the work.
Buildings also add a physical dimension that ordinary AI evaluation does not have to account for. Selecting the right evidence may depend on which camera covers an entrance, how devices relate to nearby spaces, what routes connect those spaces, or whether enough information exists to establish the relationship.
BluIQ accounts for that through its Spatial & World-Model dimension. It measures how well the intelligence environment understands spaces, routes, device relationships, visibility, coverage, and uncertainty. When the evidence cannot establish an important spatial relationship, that uncertainty remains visible in the result.
Some requirements are too important to disappear inside an overall average. BluIQ uses critical gates to keep those failures visible.
If a critical requirement fails, BluIQ can limit the result or withhold a score rather than allowing strong performance elsewhere to mask the problem. Those requirements cover areas such as who is accountable for the system, whether information and tools are accessed appropriately, whether a decision can be traced back to its evidence, and whether the system makes unsupported claims about the building.
BluIQ also assigns an A–D assurance grade showing how much confidence teams can place in the measurement itself. Repeatable testing and broader coverage provide stronger support for that confidence.
BluIQ keeps the measurement tied to the building and systems that were actually evaluated. Changes to software, camera placement, workflows, policy, or other parts of the environment can affect an earlier result.
After an approved change, teams can evaluate the relevant work again and compare the new evidence with the earlier result. Over time, that makes it possible to see where performance improved, where it regressed, and where more proof is needed.
Oracle helps make those results easier to understand by explaining the evidence behind a score, failed gates, uncertainty, changes over time, and opportunities for improvement.
As buildings add more data, integrations, models, and automation, BluIQ shows what those capabilities have actually demonstrated together.
The quotient provides a common reference point. The supporting evidence shows what stands behind it.
Connection is potential. Evidence is intelligence.
